Siemens has introduced the Eigen Engineering Agent, an advanced artificial intelligence system aimed at transforming automation engineering tasks within operational industrial environments. This AI-powered solution autonomously plans, generates, and validates engineering workflows, seamlessly operating inside Siemens’ Totally Integrated Automation (TIA) Engineering platform.
Autonomous Engineering Workflows Powered by AI
The Eigen Engineering Agent employs multi-step reasoning and self-correction abilities to independently execute complex engineering tasks. It interprets project requirements, produces automation code, configures industrial devices, and iteratively refines outputs until they meet predefined performance criteria. Key functions include programming programmable logic controllers (PLCs), setting up human-machine interfaces (HMIs), and device configuration—all critical processes in manufacturing automation.
By integrating directly with the TIA Portal, which boasts over 600,000 users worldwide, the agent accesses project-specific data such as system hierarchies, control logic, and component dependencies. This integration enables the AI to generate outputs that align precisely with existing configurations, including legacy or undocumented systems, eliminating the need for manual translation or adjustment.
Streamlined Workflow and Enhanced Accuracy
The system breaks down engineering problems into manageable steps, processing them sequentially while continuously evaluating outcomes against project requirements. This iterative process ensures high accuracy and reliability before the results are presented for human review. Siemens reports that the Eigen Engineering Agent can perform tasks two to five times faster than traditional manual workflows without sacrificing quality.
Addressing Industry Labor Shortages and Skill Gaps
Manufacturing sectors worldwide face a significant shortage of skilled workers, with estimates suggesting a gap of up to seven million manufacturing employees by 2030. Many engineering roles remain unfilled, exacerbating productivity challenges. Siemens’ AI solution aims to mitigate these workforce shortages by automating routine and complex engineering tasks, thereby reducing dependency on scarce specialist labor.
Furthermore, manufacturers often struggle with operational data quality and context, as well as a shortage of personnel capable of managing AI systems in industrial settings. The Eigen Engineering Agent is designed to overcome these barriers by embedding AI directly into engineering software used daily by professionals.
Real-World Deployments and Industry Adoption
In pilot programs spanning over 100 companies across 19 countries, including prominent firms such as ANDRITZ Metals, CASMT, and Prism Systems, the AI system demonstrated tangible benefits. Prism Systems leveraged the agent to generate and import structured control language (SCL) code, significantly reducing task completion times. CASMT utilized it for automating device configuration, code generation, and HMI visualization, reporting fewer hand-offs between specialists and accelerated project timelines.
The Eigen Engineering Agent is available through Siemens’ Xcelerator portfolio and can be accessed digitally, facilitating broad adoption across various industrial workflows.
Future Outlook and Siemens’ Commitment to Industrial AI
While current applications focus on automation engineering, Siemens envisions expanding the AI system’s capabilities throughout the industrial value chain. This initiative aligns with Siemens’ broader strategy to embed AI into operational and engineering software, enhancing efficiency and innovation.
The launch follows Siemens’ substantial €1 billion investment in industrial AI and leverages the expertise of over 1,500 AI specialists along with more than 2,000 AI-related patents worldwide. These resources support ongoing advancements in AI-driven engineering and operational tools aimed at transforming manufacturing processes.
As industries continue to adopt AI technologies, Siemens’ Eigen Engineering Agent represents a significant step toward addressing workforce challenges and improving productivity in automation engineering.
Fonte: ver artigo original
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